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3d point cloud

195 papers

3D PC

Papers

End-to-End Learning Local Multi-View Descriptors for 3D Point Clouds CVPR 2020 Global Context Reasoning for Semantic Segmentation of 3D Point Clouds WACV 2020 Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds CVPR 2020 GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations CVPR 2020 Group Contextual Encoding for 3D Point Clouds NeurIPS 2020 JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds AAAI 2020 Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation CVPR 2020 Learning to Segment 3D Point Clouds in 2D Image Space CVPR 2020 MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps CVPR 2020 On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks CVPR 2020 Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud NeurIPS 2020 SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks NeurIPS 2020 SegGCN: Efficient 3D Point Cloud Segmentation With Fuzzy Spherical Kernel CVPR 2020 Self-Robust 3D Point Recognition via Gather-Vector Guidance CVPR 2020 Transductive Zero-Shot Learning for 3D Point Cloud Classification WACV 2020 Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels CVPR 2020 xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation CVPR 2020 ABC: A Big CAD Model Dataset for Geometric Deep Learning CVPR 2019 Geometric Disentanglement for Generative Latent Shape Models ICCV 2019 JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields CVPR 2019 Learning Localized Generative Models for 3D Point Clouds via Graph Convolution ICLR 2019 Learning to Sample CVPR 2019 Modeling Local Geometric Structure of 3D Point Clouds Using Geo-CNN CVPR 2019 Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds From Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction ICCV 2019 Octree Guided CNN With Spherical Kernels for 3D Point Clouds CVPR 2019